Turning repetitive legal administration into an automated workflow that saves hours every week.
Project snapshot
[Visual: Document processing workflow]
Role
AI-assisted document processing, information extraction and workflow automation
Stages
Legal adminDocumentsAutomation
Case study snapshot
01 / CONTEXT
A commercial lawyer was receiving large volumes of litigation documents through email. The legal work was not the problem; the administration around the documents was. Court documents, correspondence, evidence and other files arrived with inconsistent filenames and had to be reviewed and renamed according to the firm's internal naming convention.
02 / DIRECTION
Remove the repetitive administration surrounding legal judgement, rather than attempting to automate legal judgement itself. The lawyer should review the result instead of manually processing every document from scratch.
03 / SYSTEM DESIGN
The workflow turns Open email → Download file → Read document → Identify details → Rename file → Save into Receive → Analyse → Rename → Organise. Each document is classified, its relevant information is extracted, and the required naming structure is applied automatically.
04 / IMPLEMENTATION
The system handles incoming litigation documents, document classification, key information extraction, standardised naming conventions, automated file renaming, consistent document organisation and human review where required.
05 / EVIDENCE
The lawyer saved hours previously spent downloading, reviewing and manually renaming documents. Files became more consistent, documents became easier to locate, and professional time could return to client work instead of document administration.
Human review remains part of the workflow wherever it is required. The system creates a repeatable foundation that can be refined as document types, naming conventions and the firm's processes evolve.